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Completed

NCT Number: NCT04474639

Determination of Diastolic Dysfunction by Single Lead Electrocardiogram

It is a prospective, controlled, single-center, non-randomized, observational study.

From September 2019 to December 2020, the study plans to prospectively include 400 patients aged 18 to 90 years.

Every patients will undergo an echocardiographic examination with assessment diastolic dysfunction of the left ventricle, and registration of an electrocardiogram using a single lead ECG monitor CardioQvark (in I standard lead) for 3 minutes. All patients will be divided into 2 main groups: with diastolic dysfunction of the left ventricle, confirmed by the results of the echocardiography and without. A spectral analysis of the electrocardiogram will be performed using a continuous wavelet transform.

The result of this study will be the identification of ECG parameters that will correlate with LV diastolic dysfunction.

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Key information

Age range

18 year–90 year

Sex eligibility

All sexes

Study type

Observational

Primary location

I.M. Sechenov First Moscow State Medical University (Sechenov University)

Moscow, Russia

About this study

It is a prospective, controlled, single-center, non-randomized, observational study.

From September 2019 to December 2020, the study plans to prospectively include 400 patients aged 18 to 90 years.

The goal of study is reveal single parameters of the electrocardiogram, which a good correlation with left ventricular diastolic dysfunction (LV DD), discovered during echocardiography.

Investigators plan to assess the diagnostic effectiveness of the spectral analysis of electrocardiograms obtained using a single-lead portable ECG monitor.

All subjects will undergo an echocardiographic examination of the heart with a determination of diastolic dysfunction of the left ventricle and will be divided into 2 main groups: with diastolic dysfunction of the left ventricle, confirmed by the results of the echocardiography and without.

At the same time, for all patients single-lead ECG will be recorded (in turn of leads I) for 3 minutes with further spectral analysis of the data obtained.

A single-lead ECG monitor CardioQvark is designed as an iPhone cover. It is registered with the Federal Service for Health Supervision on February 15, 2019. RZN No. 2019/8124.

Then a spectral analysis of the electrocardiogram will be performed using a continuous wavelet transform, the principles of which are based on the Fourier transform.

The analysis implies an assessment of the following parameters (the parameters listed below will be calculated as the median of the tact-cycle):

  • TpTe - time from peak to end of the T-wave
  • VAT - time from the beginning of the QRS to the R-peak
  • QTc - corrected QT interval.
  • QT / TQ - the ratio of QT length to TQ length (from the end of T to the beginning of the QRS of the next complex).
  • QRS_E - the total energy of the QRS wave based on the wavelet transform
  • T_E - T-wave total energy based on wavelet transform
  • TP_E- energy of the main tooth of the T-wave based on the wavelet transform
  • BETA, BETA_S - T-wave asymmetry coefficients (simple and smooth versions)
  • BAD_T - flag of T-wave quality (whether expressed in the current lead
  • QRS_D1_ons - energy of the leading edge of the R-wave (based on the "first derivative" wavelet transform)
  • QRS_D1_offs - energy of the trailing edge of the R-wave (based on the "first derivative" wavelet transform)
  • QRS_D2 - peak energy of the R-wave (based on the "second derivative" wavelet transform)
  • QRS_Ei (i = 1,2,3,4) - QRS-wave energy in 4 frequency ranges (2-4-8-16-32 Hz) based on wavelet transform
  • T_Ei (i = 1,2,3,4) - T-wave energy in 4 frequency ranges (2-4-6-8-10 Hz) based on wavelet transform
  • HFQRS - the amplitude of the RF components of the QRS wave

Additionally used parameters:

  • TpTe, VAT, QTc - are duplicated to control the correctness of the record processing (the value of the UCC should be approximately equal to the median of the tick-by-bar).
  • QRSw - QRS width.
  • RA, SA, TA - the amplitudes of the R, S, T-waves, respectively, are used to normalize the parameters listed above.

Statistical processing of results: SPSS Statistics Version 26 is a computer program for statistical processing of data.

The result of this study will be the identification of ECG parameters that will correlate with LV diastolic dysfunction, and by which it will be possible to determine its presence and degree in the future.

Investigators also plan to analyze ECG parameters characteristic of patients with LV diastolic dysfunction in different population groups:

  • patients suffering from high blood pressure with patients without the above pathology
  • patients with zones of a- and hypokinesis according to echocardiography as a result of a coronary circulation disorder
  • patients suffering from atrial fibrillation with patients without this pathology
  • men / women
  • patients of different age groups

During statistical processing of the data, the following will be calculated: sensitivity, specificity, prognostic value of positive and negative results, likelihood ratio, area under ROC - curve, correlation coefficient. it is planned to obtain data on the diagnostic effectiveness of the proposed approach, as well as on individual parameters of the electrocardiogram in the diagnosis of diastolic dysfunction of the left ventricle.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • The presence of written informed consent of the patient to participate in the study
  • Age from 18 years to 90 years
  • Outpatient treatment and / or hospitalization in a research center

Exclusion criteria

  • Reluctance of the patient to participate in the study
  • Poor quality ECG recording on a single-channel ECG monitor
  • Poor visualization of the heart during echocardiographic study
  • Acute psychotic reactions that arose during research
  • An exacerbation of chronic diseases requiring treatment tactics for the patient and preventing his further participation in the study.

Non-inclusion criteria:

  • The presence of conduction disturbances in patients that impede ECG analysis (WPW syndrome, sinoatrial block of degrees 2 and 3, atrioventricular block 3 degrees, complete block of the left bundle branch block, complete block of the right bundle branch block)
  • Conditions that can impair ECG recording quality (Parkinson's disease, essential tremor)
  • The inability to assess diastolic function during echocardiography
  • Mental illness
  • Diseases with an expected life expectancy of less than 2 years
  • Patients with diffuse hypokinesis of the left ventricle with a reduced ejection fraction (less than 30%)
  • Patients with a pacemaker installed

Treatment and study plan

echocardiographic examination

Device

conducting an echocardiographic study according to a standard protocol with the determination of diastolic dysfunction of the left ventricle

Primary outcomes

  1. determination of sensitivity of LV DD using a single-channel ECG monitor CardioQvark

    Time frame: through study completion, an average of 2 years

    comparison of the presence of LV DD detected by the results of an echocardiographic study with the results of the presence of LV DD obtained using the mathematical model of a single-channel ECG of the CardioQvark monitor

  2. determination of specificity of LV DD using a single-channel ECG monitor CardioQvark

    Time frame: through study completion, an average of 2 years

    comparison of the presence of LV DD detected by the results of an echocardiographic study with the results of the presence of LV DD obtained using the mathematical model of a single-channel ECG of the CardioQvark monitor

  3. determination of prognostic value of positive and negative results of LV DD using a single-channel ECG monitor CardioQvark

    Time frame: through study completion, an average of 2 years

    comparison of the presence of LV DD detected by the results of an echocardiographic study with the results of the presence of LV DD obtained using the mathematical model of a single-channel ECG of the CardioQvark monitor

  4. determination of likelihood ratio of LV DD using a single-channel ECG monitor CardioQvark

    Time frame: through study completion, an average of 2 years

    comparison of the presence of LV DD detected by the results of an echocardiographic study with the results of the presence of LV DD obtained using the mathematical model of a single-channel ECG of the CardioQvark monitor

  5. determination of area under ROC - curve of LV DD using a single-channel ECG monitor CardioQvark

    Time frame: through study completion, an average of 2 years

    comparison of the presence of LV DD detected by the results of an echocardiographic study with the results of the presence of LV DD obtained using the mathematical model of a single-channel ECG of the CardioQvark monitor

  6. determination of correlation coefficient of LV DD using a single-channel ECG monitor CardioQvark

    Time frame: through study completion, an average of 2 years

    comparison of the presence of LV DD detected by the results of an echocardiographic study with the results of the presence of LV DD obtained using the mathematical model of a single-channel ECG of the CardioQvark monitor

Secondary outcomes

  1. significance of the parameter TpTe on the ECG in the determination of LV DD

    Time frame: through study completion, an average of 2 years

    an ECG spectral analysis will be performed using the Fourier Transform

  2. significance of the parameter VAT on the ECG in the determination of LV DD

    Time frame: through study completion, an average of 2 years

    an ECG spectral analysis will be performed using the Fourier Transform

  3. significance of the parameter QTc on the ECG in the determination of LV DD

    Time frame: through study completion, an average of 2 years

    an ECG spectral analysis will be performed using the Fourier Transform

  4. significance of the parameter QT / TQ on the ECG in the determination of LV DD

    Time frame: through study completion, an average of 2 years

    an ECG spectral analysis will be performed using the Fourier Transform

  5. significance of the parameter QRS_E on the ECG in the determination of LV DD

    Time frame: through study completion, an average of 2 years

    an ECG spectral analysis will be performed using the Fourier Transform

  6. significance of the parameter T_E on the ECG in the determination of LV DD

    Time frame: through study completion, an average of 2 years

    an ECG spectral analysis will be performed using the Fourier Transform

  7. significance of the parameter TP_E on the ECG in the determination of LV DD

    Time frame: through study completion, an average of 2 years

    an ECG spectral analysis will be performed using the Fourier Transform

  8. significance of the parameter BETA on the ECG in the determination of LV DD

    Time frame: through study completion, an average of 2 years

    an ECG spectral analysis will be performed using the Fourier Transform

  9. significance of the parameter BETA_S on the ECG in the determination of LV DD

    Time frame: through study completion, an average of 2 years

    an ECG spectral analysis will be performed using the Fourier Transform

  10. significance of the parameter BAD_T on the ECG in the determination of LV DD

    Time frame: through study completion, an average of 2 years

    an ECG spectral analysis will be performed using the Fourier Transform

  11. significance of the parameter QRS_D1_ons on the ECG in the determination of LV DD

    Time frame: through study completion, an average of 2 years

    an ECG spectral analysis will be performed using the Fourier Transform

  12. significance of the parameter QRS_D1_offs on the ECG in the determination of LV DD

    Time frame: through study completion, an average of 2 years

    an ECG spectral analysis will be performed using the Fourier Transform

  13. significance of the parameter QRS_D2 on the ECG in the determination of LV DD

    Time frame: through study completion, an average of 2 years

    an ECG spectral analysis will be performed using the Fourier Transform

  14. significance of the parameter QRS_Ei on the ECG in the determination of LV DD

    Time frame: through study completion, an average of 2 years

    an ECG spectral analysis will be performed using the Fourier Transform

  15. significance of the parameter T_Ei on the ECG in the determination of LV DD

    Time frame: through study completion, an average of 2 years

    an ECG spectral analysis will be performed using the Fourier Transform

  16. significance of the parameter HFQRS on the ECG in the determination of LV DD

    Time frame: through study completion, an average of 2 years

    an ECG spectral analysis will be performed using the Fourier Transform

Sponsors and collaborators

Lead sponsor

I.M. Sechenov First Moscow State Medical University

Other

Registry information

Official study title

Diastolic Dysfunction Assessment of the Left Ventricle Using Spectral Analysis of a Single Lead ECG

Important dates

Study start
2019
Primary completion
2021
Study completion
2021
First posted
Jul 17, 2020
Registry last updated
Aug 31, 2021

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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